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Implementation of Chatbot using NLP.ipynb

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Implementation of Chatbot using NLP

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Python [conda env:base] *
Kernel status: Idle Executed 2 cellsElapsed time: 194 seconds
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[1]:
pip install nltk scikit-learn streamlit
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Note: you may need to restart the kernel to use updated packages.
[3]:
import nltk
import random
import numpy as np
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.linear_model import LogisticRegression
from nltk.stem import WordNetLemmatizer
[nltk_data] Downloading package punkt_tab to
[nltk_data]     C:\Users\Sweety\AppData\Roaming\nltk_data...
[nltk_data]   Package punkt_tab is already up-to-date!
[nltk_data] Downloading package wordnet to
[nltk_data]     C:\Users\Sweety\AppData\Roaming\nltk_data...
[nltk_data]   Package wordnet is already up-to-date!
[22]:
all_patterns = []
all_labels = []
responses = {}

for intent in intents:
for pattern in intent['patterns']:
all_patterns.append(pattern)
all_labels.append(intent['tag'])
responses[intent['tag']] = intent['responses']

def clean_up_sentence(sentence):
sentence_words = nltk.word_tokenize(sentence)
sentence_words = [lemmatizer.lemmatize(w.lower()) for w in sentence_words]
return sentence_words

vectorizer = TfidfVectorizer(tokenizer=clean_up_sentence)
X = vectorizer.fit_transform(all_patterns)

classifier = LogisticRegression()
classifier.fit(X, all_labels)

def get_response(user_input):
input_vector = vectorizer.transform([user_input])
predicted_tag = classifier.predict(input_vector)[0]
response = random.choice(responses[predicted_tag])
return response

while True:
user_input = input("You: ")
if user_input.lower() == "quit":
break
response = get_response(user_input)
print(f"Bot: {response}")
C:\Users\Sweety\anaconda3\Lib\site-packages\sklearn\feature_extraction\text.py:521: UserWarning: The parameter 'token_pattern' will not be used since 'tokenizer' is not None'
  warnings.warn(

You:  Hi

Bot: Hello

You:  whats up?

Bot: Hi there

You:  who are you

Bot: I can answer questions and provide assistance

You:  what is your purpose

Bot: I am a chatbot

You:  Can you help me

Bot: Sure, what do you need help with?

You:  How's the weather today

Bot: You can check the weather on a weather app or website.

You:  How can I make a budget

Bot: To create a budget, start by setting financial goals for yourself. Then, track your income and expenses for a few months to get a sense of where your money is going. Next, create a budget by allocating your income towards essential expenses, savings and debt repayment, and discretionary expenses.

You:  what is credit score

Bot: You can check your credit score for free on several websites such as Credit Karma and Credit Sesame.

You:  who is your developer

Bot: suraj sharma created me

You:  please play a song for me

Bot: Yes sure! which song do you loke to play

You:  bye

Bot: Goodbye

You:  quit
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